OCaml 的机器学习翅膀
OCaml's Wings for Machine Learning

原始链接: https://github.com/raven-ml/raven

Raven 是一个新兴的 OCaml 生态系统,旨在为 OCaml 语言带来强大的机器学习和数据科学能力,提供比 Python 更高的性能和类型安全优势。目前处于预 alpha 阶段,它包含几个子项目:Ndarray(高性能数值计算)、Ndarray-CV、Ndarray-IO、Ndarray-Datasets、Quill(交互式笔记本)、Hugin(可视化)和 Rune(自动微分和 JIT 编译)。 Raven 的目标是复制 Python 数据科学库(NumPy、Matplotlib、Jupyter、JAX)的功能,同时利用 OCaml 的优势。虽然 Ndarray 和 Hugin 等一些组件在初始 alpha 版本中功能完整,但其他组件如 Rune 和 Quill 仍处于早期阶段。未来的开发将包括用于数据框操作和深度学习的库。 Raven 鼓励社区通过错误报告、功能请求和拉取请求做出贡献。它采用 ISC 许可证。

Hacker News 上的一篇讨论围绕着 OCaml 在机器学习中的潜力展开,起因是“OCaml 的机器学习之翼”项目。一个核心主题是偏好使用 REPL 和 IDE 而不是 Jupyter Notebook 进行编码,一些人认为 Notebook 笨拙且容易出错,而另一些人则重视其交互性在数据探索和教学中的价值。讨论涉及到与其他 OCaml 项目(如 Owl)的比较,以及对 F# 的提及。还讨论了 OCaml 的优缺点,包括其语法、模块系统、过去缺乏多核支持以及与 Python 等语言相比的营销不足。评论中讨论了使用 Lwt 和 Async 的 OCaml 并发支持。F# 由于 .NET 生态系统而成为一种折中方案。

原文

OCaml's Wings for Machine Learning

Raven is a comprehensive ecosystem of libraries, frameworks, and tools that brings machine learning and data science capabilities to OCaml.

Raven aims to make training models, running data science tasks, and building pipelines in OCaml as efficient and intuitive as Python, while leveraging OCaml's inherent type safety and performance advantages. We prioritize developer experience and seamless integration.

Raven is currently in pre-alpha and we're seeking user feedback:

  • Ndarray and Hugin: Scope is feature-complete for the first alpha release, though feedback may influence refinements.
  • Rune: Proof-of-concept stage.
  • Quill: Early prototyping phase.

Raven is a constellation of sub-projects, each addressing a specific aspect of the machine learning and data science workflow:

  • Ndarray: The core of Raven, providing high-performance numerical computation with multi-device support (CPU, GPU), similar to NumPy but with OCaml's type safety.
    • Ndarray-CV: A collection of computer vision utilities built on top of Ndarray.
    • Ndarray-IO: A library for reading and writing Ndarray data in various formats.
    • Ndarray-Datasets: Easy access to popular machine learning and data. science datasets as Ndarrays.
  • Quill: An interactive notebook application for data exploration, prototyping, and knowledge sharing.
  • Hugin: A visualization library that produces publication-quality plots and charts.
  • Rune: A library for automatic differentiation and JIT compilation, inspired by JAX.
  • (More to come!): Raven is an evolving ecosystem, and we have exciting plans for additional libraries and tools to make OCaml a premier choice for machine learning and data science.

Python vs Raven: A Comparison

The table below compares Python's popular data science libraries with their Raven counterparts. For detailed code examples, see the linked documentation files.

Task Python Ecosystem Raven Ecosystem Comparison Guide Examples
Numerical Computing NumPy Ndarray Comparison Guide Examples
Visualization Matplotlib, Seaborn Hugin Comparison Guide Examples
Notebooks Jupyter Quill N/A N/A
Automatic Differentiation JAX Rune In progress In progress
Dataframe Manipulation Pandas Not yet N/A N/A
Deep Learning Pytorch, Tensorflow Not yet N/A N/A

We welcome contributions from everyone—whether you're an OCaml expert, a data scientist, or simply curious about the project:

  • Report issues for bugs or feature requests
  • Submit pull requests for code improvements, documentation, or examples

See our CONTRIBUTING.md for detailed guidelines.

Raven is available under the ISC License, making it free for both personal and commercial use.

联系我们 contact @ memedata.com